Infrastructure Engineer

📋 Description

• Run and scale Kubernetes clusters, including GPU clusters for inference and training, across cloud
• Set up compute, networking, permissions and access for other teams as they grow.
• Host and operate the data systems product teams depend on.
• Build the tooling, automations and services that make infrastructure self-serve for the rest of the
• Take on large efforts, such as cluster builds and cloud migrations, and see them through end to end.

🎯 Requirements

• Deep, hands-on experience running Kubernetes in production at scale.
• Strong experience with GCP, including designing, building and migrating cloud infrastructure end to
• Strong Python skills and a habit of solving infrastructure problems with code and automation.
• Experience operating stateful systems (databases, Kafka) on behalf of other engineering teams.
• Solid fundamentals in infrastructure as code, security and permissions, and the pragmatism to
• Bonus: experience with GPU clusters or ML training/inference infrastructure (e.g. vLLM)

🎁 Benefits

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI
• Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive
• Learning & development: ElevenLabs proactively supports professional development through an
• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each
• Annual company offsite: Each year, we bring the entire team together in a new location - past
• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.